GenAI Prompt Engineer - Hybrid (Montreal)

Axelon Services Corporation; Montreal; Hybrid; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Axelon Services Corporation is seeking a skilled Python/AI engineer to join a dedicated ML team in Montreal. You will develop AI solutions, work with clients to define requirements for prompt engineering and Python code, and contribute to a Python library's development and maintenance.

The role requires strong prompt engineering and Python skills, experience with design patterns, observability, and scalability, and is based in a hybrid model with onboarding on-site and regular in-office presence.

Qualifications

• Bachelor’s degree in computer science or related field.
• Minimum 5 years of hands-on experience in building Python applications.
• Excellent prompt engineering skills.
• Excellent Python development skills.
• Knowledge of design patterns, system resiliency, observability, scalability, and performance.
• Experience in Agile development.
• Strong analytical skills and problem-solving.

Responsibilities

• Work within a machine learning team to develop AI solutions, including ML and Gen AI.
• Collaborate with clients/SMEs to understand business requirements for prompt engineering and Python code development.
• Contribute to the development and maintenance of the Python library.
• Support the library and participate in prompt engineering.
• Maintain prompts and keep them updated with new LLM versions.
• Conduct regular testing and performance analysis.
• Participate in prompt benchmarking experiments.

Skills

Prompt engineering

Python development

Analytical skills

Communication skills

Agile development

Problem solving

Education

Bachelor's degree in computer science or related field

Tools

Microsoft Azure Cloud

Python

Job description

Axelon Services Corporation is seeking a skilled Python/AI engineer to join a dedicated ML team in Montreal. You will develop AI solutions, work with clients to define requirements for prompt engineering and Python code, and contribute to a Python library's development and maintenance.

The role requires strong prompt engineering and Python skills, experience with design patterns, observability, and scalability, and is based in a hybrid model with onboarding on-site and regular in-office presence.